451 lines
17 KiB
JSON
451 lines
17 KiB
JSON
{
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"meta": {
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"instanceId": "b41148c809c7896d124743d940fc0964703e540af66564ef95e25a4ceea61c77",
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"templateCredsSetupCompleted": true
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},
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"nodes": [
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{
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"id": "e87d3723-7e7a-4ff3-bffb-b2bd2096bd34",
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"name": "OpenAI Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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1080,
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260
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],
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "list",
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"value": "gpt-4o-mini"
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},
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"options": {}
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},
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"credentials": {
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"openAiApi": {
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"id": "uFPD9I4pWJ4xUVf7",
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"name": "OpenAi account"
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}
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},
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"typeVersion": 1.2
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},
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{
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"id": "d25bf3ea-0de4-4317-9205-651f8a1a6ba8",
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"name": "Basic LLM Chain",
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"type": "@n8n/n8n-nodes-langchain.chainLlm",
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"position": [
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1060,
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40
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],
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"parameters": {
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"text": "={{ $json.text }}",
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"messages": {
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"messageValues": [
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{
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"message": "=Okay, I've further refined the system prompt to include only the \"content\" and \"priority\" fields in the JSON output for the Todoist tool. Here's the updated prompt:\n\n**System Prompt:**\n\n```\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: [User's Entered Task or Project Description]\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\n**Key Changes and Explanations:**\n\n* **Simplified JSON Structure:** The JSON object now only includes `content` and `priority`.\n* **Example Updated:** The example response reflects the simplified JSON format.\n* **Conciseness:** The prompt is now more concise, focusing only on the necessary fields.\n\n**Jinja2 Template Version**\n\n```python\nfrom jinja2 import Template\n\ntemplate_string = \"\"\"\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: {{ project_description }}\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\"\"\"\n\ntemplate = Template(template_string)\n\n# Example Usage\nproject_description = \"Plan a team offsite.\"\nprompt = template.render(project_description=project_description)\n\nprint(prompt)\n```\n \n"
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}
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]
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},
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"promptType": "define",
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"hasOutputParser": true
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},
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"typeVersion": 1.5
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},
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{
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"id": "ddfe59c5-574c-470b-b2cc-efa05da74972",
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"name": "Receive Telegram Messages",
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"type": "n8n-nodes-base.telegramTrigger",
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"position": [
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-220,
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-100
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],
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"webhookId": "4e2cd560-ae4e-4ed7-a8ea-984518404e51",
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"parameters": {
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"updates": [
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"message"
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],
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"additionalFields": {}
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},
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"credentials": {
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"telegramApi": {
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"id": "lff3pLERRdQmkmeV",
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"name": "Telegram account"
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}
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},
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"typeVersion": 1.1
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},
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{
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"id": "23f2cedd-bcd2-4a94-acc1-8829b30553dc",
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"name": "Voice or Text?",
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"type": "n8n-nodes-base.switch",
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"position": [
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140,
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-20
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],
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"parameters": {
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"rules": {
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"values": [
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{
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"outputKey": "Audio",
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "af30c479-4542-405f-b315-37c50c4e2bef",
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"operator": {
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"type": "string",
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"operation": "exists",
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"singleValue": true
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},
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"leftValue": "={{ $json.message.voice.file_id }}",
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"rightValue": ""
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}
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]
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},
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"renameOutput": true
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},
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{
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"outputKey": "Text",
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "a3ca8cd4-fbb2-40b5-829a-24724f2fbc85",
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"operator": {
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"type": "string",
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"operation": "exists",
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"singleValue": true
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},
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"leftValue": "={{ $json.message.text || \"\" }}",
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"rightValue": ""
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}
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]
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},
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"renameOutput": true
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},
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{
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"outputKey": "Error",
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "9bcfdee0-2f09-4037-a7b9-689ef392371d",
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"operator": {
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"type": "string",
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"operation": "exists",
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"singleValue": true
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},
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"leftValue": "error",
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"rightValue": ""
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}
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]
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},
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"renameOutput": true
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}
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]
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},
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"options": {}
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},
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"typeVersion": 3.2
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},
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{
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"id": "128e8268-a256-4256-8757-9ece8be86d75",
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"name": "Fetch Voice Message",
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"type": "n8n-nodes-base.telegram",
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"position": [
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500,
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-120
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],
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"webhookId": "23645237-4943-4c32-b18c-97c410cc3409",
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"parameters": {
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"fileId": "={{ $json.message.voice.file_id }}",
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"resource": "file"
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},
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"credentials": {
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"telegramApi": {
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"id": "lff3pLERRdQmkmeV",
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"name": "Telegram account"
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}
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},
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"typeVersion": 1.2
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},
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{
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"id": "d8219ba5-bb33-44f5-a9a2-65fd16be335b",
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"name": "Transcribe Voice to Text",
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"type": "@n8n/n8n-nodes-langchain.openAi",
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"position": [
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720,
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-120
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],
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"parameters": {
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"options": {},
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"resource": "audio",
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"operation": "translate"
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},
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"credentials": {
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"openAiApi": {
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"id": "uFPD9I4pWJ4xUVf7",
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"name": "OpenAi account"
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}
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},
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"typeVersion": 1.8
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},
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{
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"id": "0c5f5568-fd14-4c65-8661-ebc5803158ce",
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"name": "Prepare for LLM",
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"type": "n8n-nodes-base.set",
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"position": [
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620,
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100
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "b324a329-3c49-4f7f-b683-74331b7fe7f8",
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"name": "=text",
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"type": "string",
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"value": "={{$json.message.text}}"
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}
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]
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}
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},
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"typeVersion": 3.4
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},
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{
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"id": "76ed8f5c-59f7-4cb9-9e59-25ac7e9e8c60",
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"name": "Extract Tasks",
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"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
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"position": [
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1220,
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260
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],
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"parameters": {
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"jsonSchemaExample": " {\n \"content\": \"Send out invitations.\",\n \"priority\": 3\n }"
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},
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"typeVersion": 1.2
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},
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{
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"id": "7d0dbcb7-aac1-4eea-8f0b-6173148bfd3f",
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"name": "Create Todoist Tasks",
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"type": "n8n-nodes-base.todoist",
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"position": [
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1620,
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40
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],
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"parameters": {
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"content": "={{ $json.output.content }}",
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"options": {
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"priority": "={{ $json.output.priority }}"
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},
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"project": {
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"__rl": true,
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"mode": "list",
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"value": "2349786654",
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"cachedResultName": "Task"
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}
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},
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"credentials": {
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"todoistApi": {
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"id": "yqSn5VBXyA4R6hgt",
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"name": "Todoist account"
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}
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},
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"typeVersion": 2.1
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},
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{
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"id": "544b3f63-8ac1-4f81-9c24-943df16d9324",
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"name": "Send Confirmation",
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"type": "n8n-nodes-base.telegram",
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"position": [
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1880,
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40
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],
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"webhookId": "5699aecd-e061-4b7f-af7b-4a23eb7201c6",
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"parameters": {
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"text": "=Task : {{ $json.content }} Task Link :{{ $json.url }}",
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"chatId": "={{ $('Receive Telegram Messages').item.json.message.chat.id }}",
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"additionalFields": {}
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},
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"credentials": {
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"telegramApi": {
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"id": "lff3pLERRdQmkmeV",
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"name": "Telegram account"
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}
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},
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"typeVersion": 1.2
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},
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{
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"id": "b244f935-3047-4581-84ac-b01b2f962c1d",
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"name": "Sticky Note2",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-260,
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-240
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],
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"parameters": {
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"width": 260,
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"height": 320,
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"content": " \n**This workflow listens for incoming voice or text messages from Telegram users.** "
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},
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"typeVersion": 1
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},
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{
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"id": "fa99930d-8e75-4f1e-aa9b-47c38e611538",
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"name": "Sticky Note3",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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440,
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-220
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],
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"parameters": {
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"width": 460,
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"height": 260,
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"content": " **Voice messages are fetched from Telegram and transcribed into text using OpenAI's Whisper API.** "
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},
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"typeVersion": 1
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},
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{
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"id": "beb460c9-0412-40c4-a3cf-76660eb0e1b8",
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"name": "Sticky Note4",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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1000,
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-60
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],
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"parameters": {
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"width": 380,
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"height": 440,
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"content": " \n**The LLM (OpenAI Chat Model) analyzes the text and breaks it down into tasks and sub-tasks, formatted for Todoist.** "
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},
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"typeVersion": 1
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}
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],
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"pinData": {},
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"connections": {
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"Extract Tasks": {
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"ai_outputParser": [
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[
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{
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"node": "Basic LLM Chain",
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"type": "ai_outputParser",
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"index": 0
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}
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]
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]
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},
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"Voice or Text?": {
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"main": [
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[
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{
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"node": "Fetch Voice Message",
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"type": "main",
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"index": 0
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}
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],
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[
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{
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"node": "Prepare for LLM",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Basic LLM Chain": {
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"main": [
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[
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{
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"node": "Create Todoist Tasks",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Prepare for LLM": {
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"main": [
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[
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{
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"node": "Basic LLM Chain",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"OpenAI Chat Model": {
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"ai_languageModel": [
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[
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{
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"node": "Basic LLM Chain",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Fetch Voice Message": {
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"main": [
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[
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{
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"node": "Transcribe Voice to Text",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Create Todoist Tasks": {
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"main": [
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[
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{
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"node": "Send Confirmation",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Transcribe Voice to Text": {
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"main": [
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[
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{
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"node": "Basic LLM Chain",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Receive Telegram Messages": {
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"main": [
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[
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{
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"node": "Voice or Text?",
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"type": "main",
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"index": 0
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}
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]
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]
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}
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}
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} |